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Assistance Systems for Construction Site Safety: Revealing Static Forces for Deconstruction Processes

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Advances in Service and Industrial Robotics (RAAD 2023)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 135))

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Abstract

High-performance tools and construction machinery generally involve a high accident risk. Currently, there are few assistance systems on construction sites that warn employees at an early stage of potential safety risks for man and machine. Sensors can be used to detect the movement of construction machinery, opening up opportunities for the development of assistance systems. In the demolition of concrete, powerful construction machines are used that work with high process forces. In this case, the construction machine generates a constant static force by which the cutting process is stabilized. The operators have no possibility to measure and adjust the static force of the construction machine in the planning and while the process. Evaluating the horizontal static performance at an early stage can prevent subsequent damage to the machine and ensures a safe working environment. Using the example of a (semi-) automated deconstruction machine, which can be controlled (semi-) automatically via ROS (Robot Operating Systems), a procedure was developed which enables the personnel to determine the static process forces for a safer work environment.

This paper is part of the ROBETON research project. Which is funded by the Federal Institute for Research on Building, Urban Affairs and Spatial Develop-ment (BBSR) on behalf of the Federal Ministry of Housing, Urban Development (BMWSB) with funds from the Zukunft Bau research funding program.

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Correspondence to Christoph Heuer .

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Heuer, C., Brell-Cokcan, S. (2023). Assistance Systems for Construction Site Safety: Revealing Static Forces for Deconstruction Processes. In: Petrič, T., Ude, A., Žlajpah, L. (eds) Advances in Service and Industrial Robotics. RAAD 2023. Mechanisms and Machine Science, vol 135. Springer, Cham. https://doi.org/10.1007/978-3-031-32606-6_51

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